Cryo-electron microscopy (Cryo-EM) is a powerful technique to produce 3-dimensional density maps for large molecular complexes. Although many atomic structures have been solved from cryo-EM density maps, it is challenging to derive atomic structures when the resolution of density maps is not sufficiently high. Geometrical shape representation of secondary structural components in a medium-resolution density map enhances modeling of atomic structures.We compare two methods in producing surface representation of the β-sheet component of a density map. Given a 3-dimensional volume of β-sheet that is segmented from a density map, the performance of a polynomial fitting was compared with that of an iterative Bézier fitting. The results suggest that the iterative Bézier fitting is more suitable for β-sheets, since it provides more accurate representation of the corners that are naturally twisted in a β-sheet.
@article{bwmeta1.element.doi-10_1515_mlbmb-2017-0003,
author = {Michael Poteat and Jing He},
title = {An Iterative B\'ezier Method for Fitting Beta-sheet Component of a Cryo-EM Density Map},
journal = {Molecular Based Mathematical Biology},
volume = {5},
year = {2017},
pages = {31-39},
language = {en},
url = {http://dml.mathdoc.fr/item/bwmeta1.element.doi-10_1515_mlbmb-2017-0003}
}
Michael Poteat; Jing He. An Iterative Bézier Method for Fitting Beta-sheet Component of a Cryo-EM Density Map. Molecular Based Mathematical Biology, Tome 5 (2017) pp. 31-39. http://gdmltest.u-ga.fr/item/bwmeta1.element.doi-10_1515_mlbmb-2017-0003/